Abstract: Reinforcement learning (RL) is a promising approach for end-to-end autonomous driving. However, training a RL strategy for autonomous driving is challenging, requiring a meticulously crafted ...

Start 2026 strong with 25+ practical New Year resolution ideas for Indian students. Boost your academic performance, personal ...

Family vacations are thrilling as they bring in new places, stunning views, and memories that count. Nevertheless, every ...

MBridge provides a seamless bridge between Hugging Face models and Megatron-Core's optimized implementation for efficient distributed training and inference. It also offers necessary tools and ...

Meta’s most popular LLM series is Llama. Llama stands for Large Language Model Meta AI. They are open-source models. Llama 3 was trained with fifteen trillion tokens. It has a context window size of ...

Overview:  Reinforcement learning in 2025 is more practical than ever, with Python libraries evolving to support real-world simulations, robotics, and deci ...

At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...

Abstract: Deep Reinforcement Learning (DRL) enable several areas of artificial intelligence, including perception recognition, expert system, recommender program and game. Also, graph neural networks ...

AI agents are reshaping software development, from writing code to carrying out complex instructions. Yet LLM-based agents are prone to errors and often perform poorly on complicated, multi-step tasks ...

This is the official implementaion of paper PrivORL: Differentially Private Synthetic Dataset for Offline Reinforcement Learning. This repository contains Pytorch training code and evaluation code.

Opioid users with and without addiction demonstrated significantly greater learning from negative reinforcement. Individuals with chronic opioid use, whether addicted or not, show heightened learning ...